1,720,965 research outputs found
Modificazione del colore del legno invecchiato naturalmente all'aperto
Get PDFL’esposizione del legno agli agenti atmosferici produce nel tempo modificazioni di diversa natura che portano al degrado del materiale, in relazione alla specie legnosa e all’eventuale trattamento superficiale di protezione. Se il manufatto è all’aperto, come nel caso dei serramenti esterni, l’azione di degrado è più marcata e rapida. Il primo carattere del legno che si altera è il colore, aspetto di importanza estetica qualora il legno sia in vista nel manufatto.
Nel presente lavoro, concentrato sulle variazioni colorimetriche, sono stati selezionate alcune specie legnose utilizzate comunemente in Italia per la costruzione di serramenti. Da queste sono state ricavate tre tavolette radiali, una delle quali è stata lasciata al naturale, una trattata con resine acriliche all’acqua e una con vernici naturali I campioni sono stati collocati all’interno del Campus di Agripolis (Legnaro, Padova) all’aperto senza riparo, in posizione verticale su un supporto metallico, con esposizione nord-sud, a partire da gennaio 2014. Le osservazioni eseguite periodicamente hanno riguardato la modificazione del colore della superficie, la variazione di massa volumica, lo stato della superficie e del trattamento protettivo. La misura del colore è stata fatta con colorimetro, utilizzando il sistema colorimetrico CIE L*a*b* 1976.
In generale, i parametri colorimetrici tendono a diminuire nel tempo, con differenze in base al tipo di trattamento o alla sua mancanza. In generale, le latifoglie mostrano un colore più stabile rispetto alle conifere. In tutte le specie esaminate le resine acriliche hanno avuto un’efficacia maggiore nella riduzione del cambiamento di colore rispetto alle vernici naturali
BEYOND THE DOUBLE DIAGNOSIS, TO REDISCOVER THE PERSON. Participatory research in a pedagogical key to rethink the educational design tools of a therapeutic community.
No full textreservedLe persone fragili con disturbi nell'ambito della salute mentale correlati ad una dipendenza patologica, vengono presi in carico storicamente e culturalmente a livello istituzionale in modo poco integrato e frammentario. Questo porta a perdere di vista la persona nella propria interezza e spesso aderire ad un modello di cura medico, che considera l'etichettatura diagnostica. Con il cambio di paradigma, si inizia a strutturare un approccio di cura orientato al modello biopsicosociale, che permette un cambiamento nella presa in carico della persona a partire dai modello organizzativo dei servizi che si occupano della salute mentale e della dipendenza.
Con questo lavoro di tesi, si propone una panoramica storica e culturale in riferimento alla doppia diagnosi a partire dal livello nosografico, fino al modello organizzativo di cura. La chiave di lettura di tutto il lavoro è quella pedagogica.
L'obiettivo di questo lavoro di tesi è quello di proporre degli strumenti innovativi per la presa in carico delle persone con doppia diagnosi. Vengono proposti nuovi strumenti per la progettazione educativa, messi a punto attraverso la ricerca partecipata svolta con gli educatori di una comunità terapeutica
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
CARROT and INBD: Accessible Artificial Intelligence facilitates Quantitative Wood Anatomy
Get PDFQuantitative Wood Anatomy (QWA) is defined as the analysis of the xylem anatomical features in trees, shrubs and herbaceous plants to investigate plants functioning, growth and environment. By combining the recognition of wood anatomical structures together with measurement techniques to quantify anatomical features like cell size, cell wall thickness, or vessel density, QWA provides comparable data among growth ring time series. The combination between QWA and dendrochronology allows for the establishment of wood anatomical trait time series which are particularly valuable in the frame of past climatic reconstructions and, in parallel, to predict plant functioning under future climate projections. Due to the intensification of the climate crisis, QWA is becoming an increasingly important tool for understanding the impacts on forest and shrub ecosystems and establish counteractive strategies. Current methodologies for quantitative wood anatomical analyses provide manual or semi-automated methods, therefore requiring significant user input in terms of settings adjustments and manual editing. These characteristics hinders these tools from being the ideal solution to tackle the current rising demand for wood anatomical data. The time spent for such analyses and the effort employed to gain meaningful results raise the interest in the implementation of AI in QWA.
Quantitative wood anatomical analyses may considerably improve in precision and efficiency following AI incorporation to the overall workflow, because of AI ability to identify complex patterns and relationships within wood structure. Furthermore, the automatization introduced by AI methods is supposed to improve the time-consuming task of manually editing traditional image analyses output. For these reasons this dissertation addresses two research topics: i) applying AI detection skills to improve quantitative wood anatomical analyses on thin-sections from wooden cores (Chapters I and II) and ii) introduce AI for the detection of concentric rings in shrub thin-sections and facilitate their measurements (Chapters III and IV).
The successful development of two distinct tools responding respectively to aim i) and ii) demonstrated that it is possible to improve the current state of the art by joining the two fields of AI and QWA for a variety of purposes. We introduced the development of CARROT (Cell And Ring RecOgnition Tool) in order to streamline quantitative wood anatomical analyses for a faster and automated workflow (Chapter I), and of INBD (Iterative Next Boundary Detection) to address the methodological gap of concentric ring automated detection and the relative computation (Chapter III). These tools showed not only the ability to provide meaningful results in the execution of the main tasks, but also to generally outperform manual or classic image analysis (Chapters I and IV). In view of the results obtained by both approaches, we promote the use of CARROT and INBD underscoring on one side the advantage of employing automatized methods to save time during analyses, and on the other side, the relevance of their broad applicability. Both tools operate several essential tasks with fairly high accuracy, handling
two growth structures (trees and shrubs), and in the case of CARROT four wood anatomical types (conifer, ring-porous, semi-ring-porous, and diffuse-porous). A great potential of application resides in the implementation of a user interface for both tools (Chapter II and IV), promoting wood anatomical analysis improvement through user-friendly interfaces in an open-source environment.
Practical applications of both tools were also performed. In Chapter II, CARROT was employed with the purpose of studying wood anatomical changes in surviving pedunculate oaks, after the flooding and the permanent rewetting of a formerly drained peatland. In this context, CARROT was found to be once again meeting the expectations in terms of high cell recognition performance, coping with the segmentation of both very wide earlywood vessels and very small latewood vessels. In Chapter IV, INBD cross-dating potential was tested to frame the realistic application of the tool. Results showed that cross-dating statistics were higher for INBD ring width measurements compared to those obtained manually, and that in most cases INBD was outperforming manual measurements even prior to any cross-dating attempt.
In general, we could observe that both methods would greatly benefit from the implementation of larger training datasets, which would enhance their accuracy across diverse wood anatomical dataset. For INBD specifically, future developments should focus on including functions that allow users to correct wrongly detected outputs and consequently recalculate the data.
Currently, recent attempts in merging AI and wood anatomy mainly take advantage of AI strengths to focus on species recognition or ring identification from cores, without effectively addressing quantitative wood anatomical research questions. For these reasons, CARROT and INBD can be regarded as cutting-edge techniques in quantitative wood anatomical analyses, for their innovative method and for their effective feasibility. Their employment would not only improve results in terms of accuracy and time, but also allow researchers to shift the focus towards the interpretation of the results and their discussion, rather than the current constraints of obtaining such results. Overall, the integration of CARROT and INBD and similar tools into quantitative wood anatomical research framework yield the possibility of expanding such studies, constituting a meaningful resource to broaden ecological investigations
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